{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Toward autonomous detection of anomalous GNSS data via applied unsupervised artificial intelligence \n", "\n", "Unsupervised Anomaly Detection of TZVOLCANO GNSS Data using Gaussian Mixtures. Once loaded in Binder, please run all the cells to properly initialize values and GUI elements." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Authors\n", "\n", "Mike Dye, D. Sarah Stamps, Myles Mason\n", "\n", "- Author1 = {\"name\": \"Mike Dye\", \"affiliation\": \"Unaffiliated\", \"email\": \"mike@mikedye.com\", \"orcid\": \"0000-0003-2065-870X\"}\n", "- Author2 = {\"name\": \"Dr. Sarah Stamps\", \"affiliation\": \"Virginia Tech\", \"email\": \"dstamps@vt.edu\", \"orcid\": \"0000-0002-3531-1752\"}\n", "- Author3 = {\"name\": \"Myles Mason\", \"affiliation\": \"Virginia Tech\", \"email\": \"mylesm18@vt.edu\", \"orcid\": \"0000-0002-8811-8294\"}\n", " \n", "\n", "\n" ] }, { "cell_type": "markdown", "metadata": { "toc": true }, "source": [ "
The cell below must be run in order to display the CHORDS GUI!
" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "ed31d2ed6e7042dfbabc59042b2e9c8d", "version_major": 2, "version_minor": 0 }, "text/plain": [ "HBox(children=(Select(description='Instrument ID: ', options=('1', '2', '4', '5', '6', '7', '8', '9'), value='…" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "6ca5e8951cc54f49bc5b2113c29de090", "version_major": 2, "version_minor": 0 }, "text/plain": [ "HBox(children=(DatePicker(value=datetime.datetime(2021, 1, 1, 0, 0), description='Start Date'), DatePicker(val…" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "121dca9f33544ed3bfa092511337d223", "version_major": 2, "version_minor": 0 }, "text/plain": [ "HBox(children=(Button(description='Download File', style=ButtonStyle()),))" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "60dc62c9fafc492c86bd17c85c1764d7", "version_major": 2, "version_minor": 0 }, "text/plain": [ "HBox(children=(Textarea(value='', description='Output:', layout=Layout(height='100px', width='90%')),))" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "a40304c5fc884b08b78c9c09fe0c54fa", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Output()" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "CHORDS.start_end_widgets(INITIAL_START_DATE, INITIAL_END_DATE)\n", "\n", "# Make sure that at least the default data file has been downloaded\n", "number_of_data_files_found = len(CHORDS.get_availiable_files())\n", "if (number_of_data_files_found < 1):\n", " CHORDS.download_csv_file()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Select data file for use during analysis\n", "\n", "Choose which of the downloaded CSV files to use for analysis. \n", "\n", "These files are retained on the server running the notebook indefinitely. \n", "\n", "**Note that on shared servers (such as mybinder.org) very large files may not work properly if they consume all available disk space and or memory**" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The cell below must be run in order to display the data file selection widget!
" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Available Data Files\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "10de1d8af957494db4a5a7dfba3f3a36", "version_major": 2, "version_minor": 0 }, "text/plain": [ "HBox(children=(Select(layout=Layout(width='initial'), options=('tzvolcano_chordsrt_com_instrument_id_1_2021-01…" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "a40304c5fc884b08b78c9c09fe0c54fa", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Output()" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "CHORDS.select_data_file()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Read contents of the selected file in to a pandas object" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [], "source": [ "if (CHORDS.available_data_files.value == None):\n", " print(\"no files were found\")" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Imported csv data fromtzvolcano_chordsrt_com_instrument_id_1_2021-01-01_to_2021-01-01.csv\n", "csv_files/tzvolcano_chordsrt_com_instrument_id_1_2021-01-01_to_2021-01-01.csv\n" ] } ], "source": [ "file_name = CHORDS.available_data_files.value\n", "print(\"Imported csv data from\" + file_name)\n", "\n", "unmodified_data = CHORDS.load_data_from_file(file_name)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Data processing and analysis\n" ] }, { "cell_type": "markdown", "metadata": { "toc-hr-collapsed": true }, "source": [ "## Resample the data to fill in holes in the time series" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Make a copy of the unmodified data" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [], "source": [ "# Fill in missing points in the time series\n", "resampled_data = unmodified_data.copy()\n", "\n", "# Set the 'Time' field to be used as the index\n", "resampled_data = resampled_data.set_index('Time').sort_index()\n", "\n", "# Re-insert the 'Time' field, as changing it to be the index removes is as a referenceable field in the pandas object\n", "resampled_data['Time'] = resampled_data.index" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Alternative method: Make a copy of unmodified data **and** resample the time series to fill in any missing time values in the series\n", "The standard approach for anomaly detection recommends imputing missing data points in a time-series. However, in this case the imputing approach was found to reduce the final accuracy of the predictions made by the neural network. The code below is commented out and is not executed. It was retained as documentation in case the imputing approach is helpful for other applications of this overall methodology." ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [], "source": [ "# Make a copy of the unmodified data\n", "# resampled_data = unmodified_data.copy()\n", "\n", "# Fill in missing points in the time-series, inserting any times missing from the series using NaN as the value\n", "# resampled_data = resampled_data.set_index('Time').sort_index().resample('1000ms').ffill()\n", "\n", "# Re-insert the 'Time' field, as the resampling process changed it to be the index\n", "# resampled_data['Time'] = resampled_data.index" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Rescale the Features\n", "Many clustering algorithms are highly sensitive to min-max ranges - including both the K-means and Gaussian mixtures algorithms. Here a best practice is followed, and before running the clustering algorithms, the data are rescaled.\n", "\n", "Details of the scaling procedure can be found by examining the **scale_np_data** function." ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [], "source": [ "# Rescale Height, Longitude and Latitude to the range between SCALE_MINIMUM and SCALE_MAXIMUM\n", "scaled_data = pd.DataFrame()\n", "\n", "# Convert the Time variable to Seconds Since Epoch\n", "scaled_data[\"Seconds Since Epoch\"] = resampled_data['Time'].astype(np.int64)\n", "# scaled_data[\"Time\"] = resampled_data['Time']\n", "\n", "scaled_data[\"Scaled Height\"] = scale_np_data(resampled_data[\"Height\"].to_numpy(), SCALE_MINIMUM, SCALE_MAXIMUM)\n", "scaled_data[\"Scaled Latitude\"] = scale_np_data(resampled_data[\"Latitude\"].to_numpy(), SCALE_MINIMUM, SCALE_MAXIMUM)\n", "scaled_data[\"Scaled Longitude\"] = scale_np_data(resampled_data[\"Longitude\"].to_numpy(), SCALE_MINIMUM, SCALE_MAXIMUM)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Calculate the Vector Magnitude\n", "Treating the individual fields as a vector, calculate the vector magnitude value as a derived feature.\n", "\n", "Creating an derived feature (variable) is a common technique in machine learning. It often makes it possible to more easily detect patterns in correlated features. In this case, it makes it easier to identify regions of localized high-noise areas within the time series." ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [], "source": [ "fields_list = ['Scaled Height', 'Scaled Latitude', 'Scaled Longitude']\n", "\n", "scaled_data[\"Vector Magnitude\"] = calculate_vector_magnitude(scaled_data, fields_list, SCALE_MINIMUM, SCALE_MAXIMUM)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Plot the Features\n", "Note the \"Vector Magnitude\" feature in green. It's wide range of values makes it easier for the algorithms to identify outliers." ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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